Pinned Repositories
ClassificaIO
This repository contains ClassificaIO, a Python package that provides a graphical user interface (GUI) for machine learning algorithms from scikit-learn.
Complete-Python-Bootcamp
Lectures for Udemy - Complete Python Bootcamp Course
flask101
Code from my series of articles on Flask
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
ivx-js
A library to make data-driven, web-based interactive multi-media experiences with support for video, sound, data collection, rule-based navigation and animations. Play videos from anywhere, including Vimeo and YouTube. Create a survey without writing any code.
microblog
A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.
mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
ml
nba2
matgraham's Repositories
matgraham/ClassificaIO
This repository contains ClassificaIO, a Python package that provides a graphical user interface (GUI) for machine learning algorithms from scikit-learn.
matgraham/Complete-Python-Bootcamp
Lectures for Udemy - Complete Python Bootcamp Course
matgraham/flask101
Code from my series of articles on Flask
matgraham/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
matgraham/ivx-js
A library to make data-driven, web-based interactive multi-media experiences with support for video, sound, data collection, rule-based navigation and animations. Play videos from anywhere, including Vimeo and YouTube. Create a survey without writing any code.
matgraham/microblog
A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.
matgraham/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
matgraham/ml
matgraham/nba2
matgraham/nba_py
Python client for NBA statistics located at stats.nba.com
matgraham/scripts
matgraham/temp